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Sunday, November 15, 2026

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@aleabitoreddit

Serenity on X

My thesis is very narrow. It's also no longer speculation when it shows up in reported earnings. HBM is a very large component cost in an AI server and not what I'm arguing. There's also many bottlenecks outside of memory. An obvious example is $AXTI InP substrates, where not securing enough capacity (where cost is in hundreds of millions) would trigger ceilings to competitor optical programs. And we'd likely see accelerated procurement patterns into 2027 where capacity is hard to scale.
@aleabitoreddit

Serenity on X

The most interesting lesson Jensen Huang taught me And gave PTSD to Google executives over from his leadership at $NVDA: Was that if a critical material can be bought out for spare change eg. ~$400m (FY2028 Photonics-SOI revenue forecast for $SOI) And trigger tens of billions in economic impact to competitors for not securing supply: We're going to see game theory bottleneck supply procurement actually accelerate upstream through 2027, with or without him. I see Morgan Stanley's list highlighting CCL, ABF, PCBs, optical module components as interesting. However; I'd put it through my own narrower lens, especially focusing on smaller component cost chokepoints + bottlenecks that doesn't cost much to secure capacity over. Deleveraging/negative sentiment is indiscriminately moving the theme up and down together, so hard to argue individual fundamentals at this point. Reflecting on 2026, I also prob need to be more selective of companies entering 2027: But there's going to be a lot of outsized opportunities in bottlenecks... as new architectures like NPO/CPO emerge across the ecosystem.

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